Dr. Christopher Strickland
I am an assistant professor of mathematics with an adjunct appointment in the department of ecology and evolutionary biology at the University of Tennessee, Knoxville with a primary interest in modeling and analyzing complex systems in biology, ecology, and social structures. I recently finished a postdoc in applied mathematics at the University of North Carolina, Chapel Hill and SAMSI (the Statistical and Applied Mathematical Sciences Institute) with a focus on computational biomath and mathematical modeling.
I have a diverse background in applied mathematics, including mathematical biology, dynamical systems, mathematical modeling, and scientific computing. My research includes a leading role in multiple international and domestic collaborations with the goal of finding solutions to data-driven problems on the interface of science, mathematics, computer science, and statistics. I have particular interest in bringing mathematical methods to the field of organismal ecology, especially in the context of behavior, dispersal, and network formation.
We develop and analyze one of the first compartmental models for the opioid epidemic. Key results include a mathematical condition for the eradication of widespread addiction, and compelling evidence which points toward particular control strategies and allocation of resources.
Using a new mathematical model for parasitoid wasp spread, I have developed CUDA powered software in Python that will provide meter-scale resolution results over an area nearly 20 km^2 in size. Bayesian inference is used to fit the parameters to field data.